| weekId | Games | Plays |
|---|---|---|
| weekId1 | 16 | 1247 |
| weekId2 | 16 | 1198 |
| weekId3 | 16 | 1259 |
| weekId4 | 16 | 1219 |
| weekId5 | 16 | 1260 |
| weekId6 | 14 | 1123 |
| weekId7 | 14 | 1122 |
| weekId8 | 15 | 1220 |
| weekId9 | 13 | 1014 |
A Data-Driven Approach Using the NFL Big Data Bowl Dataset and Advanced Machine Learning Techniques
| weekId | Games | Plays |
|---|---|---|
| weekId1 | 16 | 1247 |
| weekId2 | 16 | 1198 |
| weekId3 | 16 | 1259 |
| weekId4 | 16 | 1219 |
| weekId5 | 16 | 1260 |
| weekId6 | 14 | 1123 |
| weekId7 | 14 | 1122 |
| weekId8 | 15 | 1220 |
| weekId9 | 13 | 1014 |
| display_name | jersey_number | club | n | week |
|---|---|---|---|---|
| Dak Prescott | 4 | DAL | 49 | week_1 |
| Ezekiel Elliott | 21 | DAL | 49 | week_1 |
| Tyler Biadasz | 63 | DAL | 49 | week_1 |
| Connor McGovern | 66 | DAL | 49 | week_1 |
| Zack Martin | 70 | DAL | 49 | week_1 |
| Tyler Smith | 73 | DAL | 49 | week_1 |
| Terence Steele | 78 | DAL | 49 | week_1 |
| Noah Brown | 85 | DAL | 49 | week_1 |
| Dalton Schultz | 86 | DAL | 49 | week_1 |
| Jake Ferguson | 87 | DAL | 49 | week_1 |
| CeeDee Lamb | 88 | DAL | 49 | week_1 |
| Joe Tryon | 9 | TB | 49 | week_1 |
| Carlton Davis | 24 | TB | 49 | week_1 |
| Antoine Winfield | 31 | TB | 49 | week_1 |
| Mike Edwards | 32 | TB | 49 | week_1 |
| Jamel Dean | 35 | TB | 49 | week_1 |
| Devin White | 45 | TB | 49 | week_1 |
| Vita Vea | 50 | TB | 49 | week_1 |
| Lavonte David | 54 | TB | 49 | week_1 |
| Shaquil Barrett | 58 | TB | 49 | week_1 |
| William Gholston | 92 | TB | 49 | week_1 |
| Akiem Hicks | 96 | TB | 49 | week_1 |
| football | NA | football | 49 | week_1 |
| Dak Prescott | ||||||||
| frame_id | time | x | y | s | a | dis | o | dir |
|---|---|---|---|---|---|---|---|---|
| 11 | 2022-09-11 20:24:18 | 90.17 | 24.22 | 1.11 | 5.70 | 0.09 | 253.24 | 62.90 |
| 12 | 2022-09-11 20:24:18.1 | 90.32 | 24.30 | 1.89 | 6.32 | 0.17 | 255.27 | 61.79 |
| 13 | 2022-09-11 20:24:18.2 | 90.54 | 24.43 | 2.72 | 6.43 | 0.26 | 255.27 | 61.40 |
| 14 | 2022-09-11 20:24:18.3 | 90.82 | 24.57 | 3.39 | 5.93 | 0.31 | 258.85 | 61.52 |
| 15 | 2022-09-11 20:24:18.4 | 91.15 | 24.74 | 3.97 | 5.17 | 0.37 | 266.36 | 61.79 |
| 16 | 2022-09-11 20:24:18.5 | 91.52 | 24.93 | 4.44 | 4.22 | 0.42 | 295.01 | 62.78 |
| 17 | 2022-09-11 20:24:18.6 | 91.94 | 25.12 | 4.78 | 3.17 | 0.46 | 346.41 | 64.53 |
| 18 | 2022-09-11 20:24:18.7 | 92.39 | 25.32 | 5.01 | 2.37 | 0.49 | 32.44 | 66.77 |
| 19 | 2022-09-11 20:24:18.8 | 92.86 | 25.50 | 5.12 | 1.90 | 0.50 | 42.71 | 69.27 |
| 20 | 2022-09-11 20:24:18.9 | 93.34 | 25.66 | 5.06 | 2.20 | 0.51 | 49.75 | 73.18 |
| event | n |
|---|---|
| NA | 1,277,171 |
| first_contact | 28,773 |
| tackle | 26,928 |
| ball_snap | 16,415 |
| pass_outcome_caught | 15,870 |
| handoff | 15,364 |
| pass_arrived | 13,915 |
| out_of_bounds | 5,037 |
| run | 2,737 |
| man_in_motion | 1,288 |
| play_action | 1,035 |
| touchdown | 1,012 |
| fumble | 621 |
| shift | 368 |
| qb_slide | 350 |
| pass_forward | 248 |
| line_set | 46 |
| snap_direct | 46 |
| lateral | 45 |
| autoevent_ballsnap | 30 |
| fumble_defense_recovered | 23 |
| fumble_offense_recovered | 23 |
| pass_shovel | 23 |
| qb_sack | 23 |
| run_pass_option | 23 |
| autoevent_passinterrupted | 16 |
| autoevent_passforward | 9 |
\(\sum_{i=1}^{N} (\mathbb{I}_{\text{tackle}_i} - P(\text{tackle}_i))\)
Where: